Coding Exercises: R Data Science

Coding Exercises: R Data Science

44mIntermediate2021-10-13

Authors

Mark Niemann-Ross

Mark Niemann-Ross

Technologist experienced in hardware, software, and science fiction

Course details

Want to test—and develop—your R data-engineering skills? Join instructor Mark Niemann-Ross in this Code Challenges course as he presents short, bite-sized challenges you can use to practice R programming. Each video is less than four minutes and self-contained, so you can skip around and watch the videos in any order. Mark shares his solutions for every problem, most of which contain fewer than 10 lines of code. Whether you’re a new programmer looking to practice, or an experienced developer who wants to work on some challenges, this short course will give you a chance to sharpen your skills.

Skills covered

RStudioRStatisticsProgramming FoundationsProgramming LanguagesData ScienceOpen SourceSoftware DevelopmentOne-Off

Concepts

0. Introduction

  • 01 - Practice with R programming

1. Import Data

  • 02 - Import the World Population database
  • 03 - tryCatch()
  • 04 - Excel
  • 05 - JSON

2. Clean Data

  • 06 - Password validator
  • 07 - Subsetting
  • 08 - Join two datasets

3. Manipulate Data

  • 09 - Use SQL with R
  • 10 - Tidyverse
  • 11 - Restore missing data
  • 12 - Create a random door code

4. Visualize Data

  • 13 - Play Rock, Paper, Scissors, Lizard, Spock in R
  • 14 - Build a word cloud
  • 15 - Use clustering to show relationships

5. Work with R Packages

  • 16 - Tell a joke
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